I have following two tables:
BenPlan
BenPlanId BenPlanName BenPlanRate EmployeeCost
-----------------------------------------------------
1 Medical 0.45 5000
2 Dental 0.75 2000
EmployeeBenPlan
EmployeeId BenPlanId EffectiveStart EffectiveEnd
-------------------------------------------------------
1 1 1/1/2019 NULL
2 2 1/1/2019 NULL
Now, I have to make a report which shows data as under:
EmployeeBenPlanDetails
EmployeeId BenPlanName Rate EmployeeCost EffectiveStart EffectiveEnd
--------------------------------------------------------------------------------
1 Medical 0.75 5000 1/1/2019 NULL
2 Dental 0.75 2000 1/1/2019 NULL
That is, even when the ben plan is medical, I need to show the rate for Dental plan in the Rate column, or should I say, the rate column should display the result of following query:
SELECT Rate
FROM BenPlan
WHERE BenPlanName = 'Dental'
How can we do this?
Well, the following query returns your expected result. It always returns Rate of the Dental plan.
SELECT
EmployeeBenPlan.EmployeeId
,BenPlan.BenPlanName
,(
SELECT Rate
FROM BenPlan
WHERE BenPlanName = 'Dental'
) AS Rate
,BenPlan.EmployeeCost
,EmployeeBenPlan.EffectiveStart
,EmployeeBenPlan.EffectiveEnd
FROM
EmployeeBenPlan
INNER JOIN BenPlan ON BenPlan.BenPlanId = EmployeeBenPlan.BenPlanId
;
If the table BenPlan can have more than one row where BenPlanName = 'Dental', then you should somehow pick a single row. You can add TOP(1) with a suitable ORDER BY to the subquery.
SELECT TOP(1) Rate
FROM BenPlan
WHERE BenPlanName = 'Dental'
ORDER BY BenPlanId
You can use the following solution. This solution also works in case you are adding new records on BenPlan:
SELECT ebp.EmployeeId, bp.BenPlanName, bp.BenPlanRate AS Rate, bp.EmployeeCost, ebp.EffectiveStart, ebp.EffectiveEnd
FROM EmployeeBenPlan ebp INNER JOIN (
SELECT b1.BenPlanId, b1.BenPlanName, b1.EmployeeCost,
CASE WHEN b1.BenPlanName = 'Medical' THEN b2.BenPlanRate ELSE b1.BenPlanRate END AS BenPlanRate
FROM BenPlan b1 LEFT JOIN BenPlan b2 ON b1.BenPlanName = 'Medical' AND b2.BenPlanName = 'Dental'
) bp ON ebp.BenPlanId = bp.BenPlanId
ORDER BY ebp.EmployeeId, ebp.BenPlanId
demo on dbfiddle.uk
you can write this query
SELECT E.EmployeeId,B.BenPlanName,(SELECT TOP(1) Rate
FROM BenPlan
WHERE BenPlanName = 'Dental') AS Rate,
B.EmployeeCost,E.EffectiveStart,E.EffectiveEnd
FROM BenPlan B
INNER JOIN EmployeeBenPlan E ON B.BenPlanId = E.BenPlanId
You seem to want two joins to benplan, one just for "Dental" and one for the name of the actual plan:
select ebp.EmployeeId, bp.BenPlanName,
bpd.Rate, bp.EmployeeCost,
ebp.EffectiveStart, epb.EffectiveEnd
from employeebenplan ebp join
benplan bp
on ebp.BenPlanId = bp.BenPlanId join
benplan bpd
on bpd.BenPlanName = 'Dental'
Related
I am trying to return just the first row where the BLOCK_STOP_ORDER = 2. What is wrong with my SQL? Why isn't WHERE SCHEDULE.BLOCK_STOP_ORDER = (SELECT MIN(S1.BLOCK_STOP_ORDER....
working? When I run the subselect on its own it returns the value '2' - doesn't that mean it should then limit the query result to only the row(s) where BLOCK_STOP_ORDER = 2?
SELECT ROUTE.ROUTE_ABBR, SCHEDULE.ROUTE_DIRECTION_ID, SCHEDULE.PATTERN_ID, SCHEDULE.BLOCK_STOP_ORDER,
SCHEDULE.SCHEDULED_TIME, GEO_NODE.GEO_NODE_ABBR, TRIP.TRIP_SEQUENCE AS TPST
FROM SCHEDULE
INNER JOIN GEO_NODE ON SCHEDULE.GEO_NODE_ID = GEO_NODE.GEO_NODE_ID
INNER JOIN ROUTE ON SCHEDULE.ROUTE_ID = ROUTE.ROUTE_ID
INNER JOIN TRIP ON SCHEDULE.TRIP_ID = TRIP.TRIP_ID
WHERE (SCHEDULE.CALENDAR_ID = '120221024') AND ROUTE.ROUTE_ABBR = '001'
AND SCHEDULE.ROUTE_DIRECTION_ID = '2' AND SCHEDULE.PATTERN_ID = '270082'
AND TRIP.TRIP_SEQUENCE = '18600'
AND SCHEDULE.BLOCK_STOP_ORDER =
(SELECT MIN(S1.BLOCK_STOP_ORDER)
FROM SCHEDULE S1
WHERE SCHEDULE.CALENDAR_ID = S1.CALENDAR_ID
AND SCHEDULE.ROUTE_ID = S1.ROUTE_ID
AND SCHEDULE.ROUTE_DIRECTION_ID = S1.ROUTE_DIRECTION_ID
AND SCHEDULE.PATTERN_ID = S1.PATTERN_ID
AND SCHEDULE.SCHEDULED_TIME = S1.SCHEDULED_TIME
AND SCHEDULE.GEO_NODE_ID = S1.GEO_NODE_ID
AND SCHEDULE.BLOCK_STOP_ORDER = S1.BLOCK_STOP_ORDER
AND SCHEDULE.TRIP_ID = S1.TRIP_ID
)
GROUP BY ROUTE.ROUTE_ABBR, SCHEDULE.ROUTE_DIRECTION_ID,
SCHEDULE.PATTERN_ID, SCHEDULE.SCHEDULED_TIME,
GEO_NODE.GEO_NODE_ABBR, SCHEDULE.BLOCK_STOP_ORDER, TRIP.TRIP_SEQUENCE
ORDER BY ROUTE.ROUTE_ABBR, SCHEDULE.ROUTE_DIRECTION_ID, TRIP.TRIP_SEQUENCE
Results:
ROUTE_ABBR
ROUTE_DIRECTION_ID
PATTERN_ID
BLOCK_STOP_ORDER
SCHEDULED_TIME
GEO_NODE_ABBR
TPST
001
2
270082
2
18600
1251
18600
001
2
270082
3
18600
1346
18600
001
2
270082
5
18720
1123
18600
001
2
270082
6
18720
11372
18600
001
2
270082
4
18720
1570
18600
001
2
270082
8
18780
11373
18600
This is probably better solved with the row_number() windowing function:
SELECT *
FROM (
SELECT DISTINCT r.ROUTE_ABBR, s.ROUTE_DIRECTION_ID, s.PATTERN_ID, s.BLOCK_STOP_ORDER,
s.SCHEDULED_TIME, g.GEO_NODE_ABBR, t.TRIP_SEQUENCE AS TPST,
row_number() over (order by SCHEDULE.BLOCK_STOP_ORDER) rn
FROM SCHEDULE s
INNER JOIN GEO_NODE g ON s.GEO_NODE_ID = g.GEO_NODE_ID
INNER JOIN ROUTE r ON s.ROUTE_ID = r.ROUTE_ID
INNER JOIN TRIP t ON s.TRIP_ID = t.TRIP_ID
WHERE s.CALENDAR_ID = '120221024' AND r.ROUTE_ABBR = '001'
AND s.ROUTE_DIRECTION_ID = '2' AND s.PATTERN_ID = '270082'
AND t.TRIP_SEQUENCE = '18600'
) t1
WHERE rn=1
ORDER BY t1.ROUTE_ABBR, t1.ROUTE_DIRECTION_ID, t1.TRIP_SEQUENCE
The problem with the original is the name SCHEDULE. For the full version of the query, the subquery is matching the name in the nested select with the instance of the table from the outer select. This correlates the results of the inner table with the outer, so only the item from that row of the outer table is eligible.
When you run the inner query by itself, separate from the outer query, there is only the one instance of the table. In that situation the WHERE conditions are matching the table to itself — they are always true — and you just get the smallest value of all the rows: 2.
This is why you should ALWAYS give ALL the tables in your queries an alias, and ONLY reference them by that alias (as I did in my answer). Do this, and the MIN() version can work... but will still be slower and more code than using row_number().
Finally, the use of DISTINCT / GROUP BY with every SELECT column is usually an indicator you don't fully understand the JOIN relationships used in the query, and in at least one case the join conditions are not sufficiently selective. I'd hesitate to move a query like that to production, even if it seems to be working, though I confess most of us have done it at some point anyway.
I'm trying to get the sum of sales for a specific product between a date range. Unfortunately, the sum of sales from the results for both dates are the same. By right the total sales on 2019/01/01 is 5000 and the total sales on following day 2019/01/02 is 3000. The results showed total sales which is 8000 for both days. Which is wrong. Any expert can help to improve is this query?
Declare #BusinessDate datetime ='2019-01-01'
Declare #end datetime ='2019-01-02'
DECLARE #StoreId int = 100
SELECT [Terminals].[Id] AS [TerminalId],
[Terminals].[StoreId],
[EOD].[Id] AS [EODId],
SUM([Sales].[SalesAmount]) AS [SalesAmount],
[EOD].BusinessDate
FROM [CEPP]..[Stores] WITH (NOLOCK)
INNER JOIN [CEPP]..[Terminals] WITH (NOLOCK)
ON [Stores].[Id] = [Terminals].[StoreId]
AND [Terminals].[MWorkFlowStatusId] = 2
AND ([Terminals].[MStatusId] = 1
OR ([Terminals].[MStatusId] = 0
AND [Terminals].[SuspendedDate] > #BusinessDate ))
LEFT JOIN [EndOfDays] AS [EOD] WITH (NOLOCK)
ON [Terminals].[Id] = [EOD].[TerminalId]
AND [EOD].[BusinessDate] >= #BusinessDate and [EOD].[BusinessDate]<=#end
CROSS APPLY (
SELECT SUM([Products].[Deno]) AS [SalesAmount]
FROM [SalesOrders] AS [SO] WITH (NOLOCK)
INNER JOIN [SalesTransactions] AS [ST] WITH (NOLOCK)
ON [SO].[Id] = [ST].[SalesOrderId]
LEFT JOIN [VoidOrders] AS [VO] WITH (NOLOCK)
INNER JOIN [VoidTransactions] AS [VT] WITH (NOLOCK)
ON [VO].[Id] = [VT].[VoidOrderId]
ON [SO].[DealerId] = [VO].[DealerId]
AND [SO].[StoreId] = [VO].[StoreId]
AND [SO].[TerminalId] = [VO].[TerminalId]
AND [ST].[ProductId] = [VT].[ProductId]
AND [ST].[SerialNo] = [VT].[SerialNo]
AND [ST].[BusinessDate] = [VT].[BusinessDate]
AND [VT].[MVoidTypeId] = 1
INNER JOIN [CEPP].[dbo].[Products] WITH (NOLOCK)
ON [ST].[ProductId] = [Products].[Id]
WHERE [EOD].[Id] IS NOT NULL
AND [VT].[SerialNo] IS NULL
AND [SO].[TerminalId] = [Terminals].[Id]
AND [ST].[BusinessDate] >= #BusinessDate and [ST].[BusinessDate] <= #end
) AS [Sales]
WHERE [Stores].[DealerId] = 1 AND (#StoreId IS NULL OR [Terminals].[StoreId] = #StoreId)
GROUP BY [Terminals].[Id], [Terminals].[StoreId], [EOD].[Id], [Stores].[Code], [Terminals].[Code],[EOD].BusinessDate
ORDER BY ISNULL([EOD].[Id], 0), [Stores].[Code], [Terminals].[Code]
The unexpected results I got is :
TerminalId StoreId EODId SalesAmount BusinessDate
21598 100 5427531 8000.00 2019-01-01 00:00:00.000
21598 100 5427532 8000.00 2019-01-02 00:00:00.000
The results should be like this:
TerminalId StoreId EODId SalesAmount BusinessDate
21598 100 5427531 5000.00 2019-01-01 00:00:00.000
21598 100 5427532 3000.00 2019-01-02 00:00:00.000
From what I can see at a glance and without test data, is that the SUM([Products].[Deno]) is being performed in the CROSS APPLY irrespective of any GROUP BY you have in the outer query. Hence why you're getting SUM([Sales].[SalesAmount]) to equal 8000 for each output row.
Refactor the CROSS APPLY subquery to aggregate SUM([Products].[Deno]) with respect to a GROUP BY and join back to the main table by the GROUP BY predicates to your outer query.
AND [EOD].[BusinessDate] >= #BusinessDate and [EOD].[BusinessDate]<=#end
This part looks very suspicious to me. I think it should be something like
[EOD].[BusinessDate] = [Sales].[Date]
If that does not resolve your problem, please provide us with scripts for creation of tables and test data. That way it's much easier to investigate query.
Table 1
jh."job-hdr"
job-date job-disp job-dept job-route job-id job-no
01/04/2013 6467 abc 123 22 81088
01/04/2013 6468 abc 987 36 82568
Table 2
rh."rec-charge"
charge-type rec-id base-sales-value
XYZ 22 700
Table 3
rc."rec-cost"
charge-type rec-id base-cost-value
XYZ 22 300
I need to be able to get the profit from this jobid of
700 - 300 = 400
This is where I have gotten up to
SELECT jh."job-date", jh."job-disp", jh."job-dept", jh."job-route", rc."charge-type",rh."charge-type",
SUM(rc."base-cost-value") as COSTS,
SUM(rh."base-sales-value") as SALES,
SUM(rh."base-sales-value") - SUM(rc."base-cost-value") as PROFIT
FROM MSN.PUB."rec-chg" rh, PUB."job-hdr" jh, pub."rec-cost" rc
WHERE jh."job-date" between '2013-04-01' and '2013-04-30'
and jh."job-id" = rc."rec-id"
and rc."rec-id" = rh."rec-id"
and jh."grp-id" = '0'
and jh."job-status"<>'D'
and jh."job-no" = '81088'
and rc."charge-type" = rh."charge-type"
Group by jh."job-date", jh."job-disp", jh."job-dept", jh."job-route",rc."charge- type",rh."charge-type"
This is not giving me great results at all and I know I am way off. I just need to be put in the right direction.
Update profit to:
SUM(rh."base-sales-value" - rc."base-cost-value") as PROFIT
And update your group by to:
group by jh."job-id", rc."rec-id", rh."rec-id"
This should give your the desired result (hopefully). Sorry didnt not have time to test it myself. The main focus is on group by, which should be applied on a field that would return multiple results for other fields you want to run the sum on.
Your question appears is a little ambiguous, as to whether you want the results by job or by charge type. In either case, you need to aggregate the results before doing the join. The following query does this at the job level:
SELECT jh."job-date", jh."job-disp", jh."job-dept", jh."job-route",
COSTS, SALES, SALES - COSTS as PROFIT
FROM PUB."job-hdr" jh left outer join
(select rh."rec-id", SUM(rh."base-sales-value") as SALES
from MSN.PUB."rec-chg" rh
group by rh."rec-id"
) rh
on jh."job-id" = rh."rec-id" left outer join
(select rc."rec-id", SUM(rc."base-cost-value") as COSTS
from pub."rec-cost" rc
group by rc."rec-id"
) rc
on jh."job-id" = rc."rec-id"
WHERE jh."grp-id" = '0' and
jh."job-status" <> 'D' and
jh."job-no" = '81088';
Notice that I replaced your implicit join syntax with explicit join syntax. The explicit version is much better, so you should learn to use it.
I have an scenario where I need to compare amounts based on their Code type and compare that amount with another code type and return the result.
For example:
SELECT distinct P.TERM_KEY, C.Country_code, Amt.DAMT
FROM TERM P
INNER JOIN Country C ON P.TERM_KEY= C.TERM_KEY
INNER JOIN Amount Amt ON C.COU_KEY = Amt.PARENT_KEY AND Amt.PARENT_TABLE=Country
WHERE P.Term_no = 'ABCD' AND C.Country_CD IN (50, 51)
and result of this query is below:
TERM_KEY Country_code DAMT
201000000085 5000 1000.00
201000000083 5001 750.00
201000000081 5001 1000.00
201000000342 5000 1000.00
201000002340 5001 750.00
201000034733 5001 1000.00
Now I need to compare the Damt of country codes (50 and 51) with Country code 20, if Damt of country code 20 and Country Codes (50 , 51) are equal I need to report value as '5869', else if not equal I need to report value as '0000'.
I'll use the above result set in some other case condition
Example
Case
WHEN C.County = 999 and C.Contry_code = '20' AND ISNULL(CDED.DAmt,0)=0 THEN '5869'
C.County = 999 and C.Contry_code = '20' AND ISNULL(Amt.DAmt,0)!=0 THEN '0000'
end as Country_County
So CDED has to return the result set which I need to use in case. How can that be done?
Not sure what your data looks like or how it's related, but i would just create 2 sub-queries and join them.
select case
when ISNULL(subset_5051.DAmt,0) = ISNULL(subset_20.DAmt,0) then '5869'
else '0000'
end
from
(
SELECT distinct P.TERM_KEY, C.Country_code, Amt.DAMT
FROM TERM P
INNER JOIN Country C ON P.TERM_KEY= C.TERM_KEY
INNER JOIN Amount Amt ON C.COU_KEY = Amt.PARENT_KEY AND Amt.PARENT_TABLE=Country
WHERE P.Term_no = 'ABCD' AND C.Country_CD IN (50, 51)
) as subset_5051
[left / right / inner / full] join
(
SELECT distinct P.TERM_KEY, C.Country_code, Amt.DAMT
FROM TERM P
INNER JOIN Country C ON P.TERM_KEY= C.TERM_KEY
INNER JOIN Amount Amt ON C.COU_KEY = Amt.PARENT_KEY AND Amt.PARENT_TABLE=Country
WHERE P.Term_no = 'ABCD' AND C.Country_CD IN (20)
) as subset_20
on subset_5051.[?] = subset_20.[?]
i don't know what type of join you should use, or what columns to join on, but that should get you started.
The query below is kind of an ugly one so I hope I've got it spaced well enough to make it readable. The query finds the percentage of people that visit a given hospital if they are from a certain area. For instance, if 100 people live in county X and 20 go to hospital A and 80 go to hospital B the query outputs. How the heck is this sort of thing done? Let me know if I need to document the query or whatever I can do to make it clearer.
hospital A 20
hospital B 80
The query below works exactly like I want it to, but it give me thinking: how could this be done for every county in my table?
select hospitalname, round(cast(counts as float)/cast(fayettestrokepop as float)*100,2)as percentSeen
from
(
SELECT tblHospitals.hospitalname, COUNT(tblHospitals.hospitalname) AS counts, tblStateCounties_1.countyName,
(SELECT COUNT(*) AS Expr1
FROM Patient INNER JOIN
tblStateCounties ON Patient.stateCode = tblStateCounties.stateCode AND Patient.countyCode = tblStateCounties.countyCode
WHERE (tblStateCounties.stateCode = '21') AND (tblStateCounties.countyName = 'fayette')) AS fayetteStrokePop
FROM Patient AS Patient_1 INNER JOIN
tblHospitals ON Patient_1.hospitalnpi = tblHospitals.hospitalnpi INNER JOIN
tblStateCounties AS tblStateCounties_1 ON Patient_1.stateCode = tblStateCounties_1.stateCode AND Patient_1.countyCode = tblStateCounties_1.countyCode
WHERE (tblStateCounties_1.stateCode = '21') AND (tblStateCounties_1.countyName = 'fayette')
GROUP BY tblHospitals.hospitalname, tblStateCounties_1.countyName
) as t
order by percentSeen desc
EDIT: sample data
The sample data below is without the outermost query (the as t order by part).
The countsInTheCounty column is the (select count(*)..) part after 'tblStateCounties_1.countyName'
hospitalName hospitalCounts countyName countsInTheCounty
st. james 23 X 300
st. jude 40 X 300
Now with the outer query we would get
st james 0.076 (23/300)
st. jude 0.1333 (40/300)
Here is my guess. You'll have to test against your data or provide proper DDL + sample data.
;WITH totalCounts AS
(
SELECT StateCode, countyCode, COUNT(*) AS totalcount
FROM dbo.Patient GROUP BY StateCode, countyCode
)
SELECT
h.hospitalName,
hospitalCounts = COUNT(p.hospitalnpi),
c.countyName,
countsInTheCounty = tc.totalCount,
percentseen = CONVERT(DECIMAL(5,2), COUNT(p.hospitalnpi)*100.0/tc.totalCount)
FROM
dbo.Patient AS p
INNER JOIN
dbo.tblHospitals AS h
ON p.hospitalnpi = h.hospitalnpi
INNER JOIN
totalCounts AS tc
ON p.StateCode = tc.StateCode
AND p.countyCode = tc.countyCode
INNER JOIN
dbo.tblStateCounties AS c
ON tc.StateCode = c.stateCode
AND tc.countyCode = c.countyCode
GROUP BY
h.hospitalname,
c.countyName,
tc.totalcount
ORDER BY
c.countyName,
percentseen DESC;